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Rosella BI Server Platform for Predictive Modeling and BI

Rosella BI Server is a web-based business intelligence development platform. It provides various BI functions over the web using user-written html template pages, such as executive dashboards, pre-defined management reports, etc. The most important function is to deploy CMSR models on the web for a large number of users. BI Server supports three ways to deploy CMSR models;

  • Standard deployment using standard user interfaces.
  • HTTP/JSON requests from other applications.
  • API calls from Jakarta/Java EE JSP programs.

Supported models are RME-EP (including Deep Learning) models, SOM, neural network, decision tree, regression, and co-items cross-sell models.

BI Server is based on Jakarta/Java EE and can be operated on all major operating systems such as Windows, Linux, Mac OS X, Solaris, etc. It runs on high efficiency.

BI Server has advanced Model Instance Managers which provide model services to accelerate evaluation speed.

(1) Standard Deployment of Models using Standard Interface

This is the simplest deployment method of CMSR models. The following figures show input and output interfaces. Models (along with html help pages) are copied into system directories. BI Server automatically generates interfaces based on input and output variables. The first figure shows an example of input interface. The second is an example of output report. Users enters input values and then press the "Evaluate" button. Then the second screen appears.

predictive model input screen. predictive model output screen.

(2) HTTP/JSON Requests from Other Applications

This is for applications running on non-Jakarta/Java EE platforms. Applications simply request services using HTTP protocols. Data is exchanged using JSON format. This is highly efficient. BI Server can process over 5,000 HTTP requests per second.

(3) API Calls from Jakarta/Java EE JSP Programs

This is for Jakarta/Java EE JSP programs. Simple method/procedure API calls are provided to evaluate data over models. Programs are normally written in JSP, deployed along with BI Server.


HTML Templates based Rapid Development of Intelligent Reports

Typical BI applications can consist of hundreds of simple and complex reports or dashboards that may contain charts with predictive statistics. Developing such systems can require huge manpower and time. BI server platform provides an advanced platform on which complex applications can be developed and deployed very rapidly, resulting not only significant cost reduction but also with sophisticated analytics incorporating RME-EP models. Reports are based on HTML codes incorporating embedded macros.

What is Knowledge-Embedded Predictive Reports?

Knowledge-Embedded Predictive Reports can improve business visibility harnessing business reports with predictive modeling and business logic using RME-EP rule engines. For example, KPIs can analyze changes in business drivers and co-inference them automatically to detect hidden patterns underneath complex numbers. KPR's incorporate predictive modeling with rule-based expert systems into report writing and charting systems;

  • Predictive analytics can be used to detect patterns and trends in business drivers automatically from hidden numbers, and to predict future directions. It is known that leading predictive indicators are more useful than trailing indicators. Directions and projections can be very useful information to have.
  • Rule-based expert systems can be used to leverage complexity of various business drivers and indicators. As the surveys mentioned found, understanding too many drivers and complex numbers can be very daunting tasks for executives and business users. Expert systems based on business logic can take this task as an expert, making balanced scorecards more friendlier and easier to understand.
  • Business activity monitoring and Event processing provides a platform intelligent business operations, detecting complex business events and taking proactive measure automatically.
  • Web-based reporting & charting engines are essential in generating business reports in a timely real-time fashion so that executives and business users can recognize developing situation in real-time.

Incorporation of predictive analytics and rule-based expert systems into business reports provides a number of advantages. It will make business reports much easier to comprehend potential problems and successes. Trends developing can be detected early so that actions can be followed as early as possible. Complexity in interpreting KPIs is removed in real-time by embedded knowledge of business experts.

web embedded credit risk dashbords.

Data Visualization Charts

Rosella Analytic BI Platform produces high-quality graphics and reports that can be used in executive dashboards analytic reports.

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